DocumentCode
2829401
Title
An improved method for feature weighting to document categorization
Author
Pei, Zhili ; Zhou, Yuxin ; Wang, Lihua ; Liu, Lisha ; Lu, Yinan ; Kong, Ying
Author_Institution
Coll. of Comput. Sci. & Technol., Inner Mongolia Univ. for the Nationalites, Tongliao, China
Volume
3
fYear
2010
fDate
21-24 May 2010
Abstract
Based on the significance of feature frequency, an improved weighting method for feature frequency is proposed, which considers the decision-making information in evaluating the contribution of feature frequency to document categorization. Experimental results show that this method could improve the space distribution of the document set. Furthermore, the values of macro accuracy, macro recall rate and macroF1 are all improved significantly.
Keywords
decision making; document handling; decision-making information; document categorization; feature frequency; feature weighting; Automation; Computer science; Decision making; Educational institutions; Frequency; Fuzzy sets; Machine learning; Mechanical engineering; Set theory; Workstations; document categorization; feature weighting; real rough set; tf.idf;
fLanguage
English
Publisher
ieee
Conference_Titel
Future Computer and Communication (ICFCC), 2010 2nd International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-5821-9
Type
conf
DOI
10.1109/ICFCC.2010.5497607
Filename
5497607
Link To Document